Analytics Engineer Healthcare (mfd)

At Statista were all about facts and data for we are the worlds leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007 we have quickly grown into a global company with offices in major cities such as London New York Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are no matter where you come from what you look like or whether you prefer bar graphs to pie charts. Your story matters keep writing it as part of our team.

Are you ready to join us

About Statista Healthcare
Statista Healthcare is a vertical business unit of Statista focused on making healthcare quality transparent measurable and comparable across countries care settings and specialties. We work with leading healthcare stakeholders worldwide to support data-driven quality measurement and transformation by combining in-depth analytical expertise with scalable technology and communication power.

Our offerings span international rankings ratings benchmarking studies and customized consulting projects. Our global healthcare rankings and hospital ratings are published in collaboration with our trusted media partner Newsweek enabling high visibility and credibility across markets.

We help healthcare organizations define relevant key performance indicators validate and harmonize data structures and translate insights into actionable strategies. At the heart of our approach is a data driven understanding of healthcare quality grounded in robust methodologies global comparability and stakeholder trust.

In our consulting projects we support healthcare providers and systems in developing tailored KPI frameworks standardizing and validating data processes and deriving actionable insights that enable measurable improvements in patient care and system-level performance. We combine structured methodologies with hands-on delivery to unlock the full value of healthcare quality data.

Your Role
As an Analytics Engineer on our Healthcare Platform youll turn diverse healthcare data into trusted well-modeled datasets and a clear semantic layer for analysis and products. Youll design implement and maintain scalable data models and architectures define metrics and documentation and ensure data is reliable governed and easy to use. Youll work closely with data engineers (ingestion/platform) data scientists and the analyst team to deliver consistently defined high-quality data that powers the platform and its outputs.

Key Responsibilities

• Implement and evolve the data architecture in the warehouse (e.g. Snowflake) including enterprise- and domain-level models that support rankings ratings benchmarking and platform use cases

• Design and maintain scalable well-documented data models that feed healthcare and business reporting with clearly defined metrics/semantics and versioned documentation

• Communicate complex technical concepts accessibly to align stakeholders (analysts data scientists Product Owner) and build consensus on definitions and quality standards

• Collaborate with analytics data platform (Data Engineering) and business/analyst teams to ensure seamless data flow interoperability and data contracts between ingestion and models

• Lead structured documentation of data models (YAML/dbt docs or equivalent) and Confluence maintaining transparency lineage notes and change history

Skills and Qualifications

• Deep knowledge of data modeling approaches (e.g. star schema data vault medallion data marts 3NF) and the ability to translate business problems into maintainable technical designs

• Hands-on experience with dbt Snowflake AWS PowerBI SQL and Python

• Strong grasp of relational database concepts and performance tuning (keys/constraints indexing query plans transactions & isolation) across modern cloud warehouses (e.g. Snowflake) and traditional RDBMS

• Data quality observability and documentation for modeled layers (tests data contracts schema governance lineage dbt/YAML docs) to ensure trusted auditable datasets and well-defined metrics

• Healthcare-aware governance as a plus: practical experience with PII/PHI handling access control and GDPR-aware practices

Your Profile

• Bachelors or Masters in Computer Science Data Science Engineering or related field

• 3 years of experience designing and delivering complex data architectures and models; including a sustained period within one organization seeing a product through build launch iteration

• Healthcare domain experience is a plus (e.g. understanding of KPIs quality / benchmarking concepts cross-country harmonization)

• Strong analytical mindset and ability to transform complex data into actionable insights

• Fluent in English German a plus

• Highly structured curious and motivated to work in an international and cross-functional environment

What we offer

In addition to our great team culture and our shared goal of empowering people with data there are many other things that make Statista a great place to work! Join us and benefit from:

• Work from abroad 10 days a year (up to 30 if your family lives abroad)

• Hybrid work and flex-time

• International team and social events

• Free access to Perplexity Enterprise and all its amazing functionalities

• Career & training opportunities

• Attractive locations and modern offices

• Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.